Techbar

We are looking for an Azure Architect with strong experience in cloud security, infrastructure design, and enterprise-grade system architecture. The role involves defining and improving cloud structure, ensuring security best practices, reviewing existing components, and guiding the engineering direction of the platform.

Key ResponsibilitiesCloud Architecture:

• Design and refine system architecture on Microsoft Azure
• Structure environments, VNets, Subscriptions, and Resource Groups
• Establish scalable, well-organized infrastructure patterns
• Review current architecture and propose improvements for stability and performance
   

Security & Compliance

• Implement secure-by-default patterns across Azure services
• Enforce network segmentation, private networking, and endpoint hardening
• Apply RBAC least-privilege access models
• Support secure multi-tenant isolation
• Perform cloud security posture analysis (CSPM) and propose remediation steps
• Ensure compliance with best practices (identity, access, encryption, auditing)
   

Technical Guidance

• Work closely with product and engineering stakeholders to refine requirements
• Translate architectural concepts into engineering tasks
• Provide guidance on DevOps, networking, and data flows
• Review diagrams, documentation, and solution proposals
   

Optional (Nice-to-Have)

Not required, but beneficial:

• Experience integrating AI or document-processing pipelines
• Understanding of LLM-based extraction or content processing
• Familiarity with Python-based backend services
• Experience with vector search, embeddings, or data enrichment
• Exposure to tools like Content Understanding or similar services
   

Required SkillsCore Technical Skills (Must-Have):

• Strong expertise in Microsoft Azure architecture
   (Networking, Storage, Compute, Identity, Serverless, Monitoring)
• Solid understanding of cloud security, including:
  • Private Endpoints and network isolation
  • Conditional Access & Entra ID
  • Encryption at rest & in transit
  • Threat modeling & risk assessment
  • Azure Policy & governance
• Experience designing distributed, secure cloud systems
• Understanding of CI/CD, IaC (Terraform/Bicep — plus)
• Ability to review and create architecture diagrams
   

Soft Skills (Critical):

• Strong communication and stakeholder management
• Ability to explain solutions clearly to both technical and non-technical audiences
• Proactive problem-solving and ownership mindset
• Ability to guide discussions and defend architectural decisions diplomatically
   

Nice to Have (Optional):

• Experience with document processing or unstructured data
• Background in AI/ML integrations (not required)
• Experience with secure ingestion pipelines
• Familiarity with GitHub Actions or Azure DevOps
• Knowledge of multi-tenant platform patterns

Techbar шукає Data Engineers (Middle—Senior—Lead) для різних міжнародних клієнтів у сферах retail, analytics, financial crime, enterprise platforms та ML-Ops.
Кожен проєкт — окремий клієнт, свій стек і свої вимоги. Ми пропонуємо можливість обрати той напрямок, який найкраще відповідає вашому досвіду, технічному фокусу та очікуванням щодо розвитку.

Проєкт 1: Data Engineer — Retail (US)

Location: Remote, Global
Tech Stack: Snowflake, dbt Cloud, Astronomer / Airflow, Python

Необхідний досвід роботи:
5+ років у Data Engineering
2+ роки досвіду з dbt (critical)
Advanced SQL
Snowflake / BigQuery / Redshift
Airflow (DAGs)
Python
ELT/ETL, Git
Продакшн пайплайни
English: B2+

Буде плюсом: Retail/e-commerce, Great Expectations/Monte Carlo, Airbyte/Fivetran, BI, Terraform, governance.

Обов’язки: Розробка та підтримка dbt-моделей, Airflow DAGs, оптимізація Snowflake, data quality, документування, performance tuning.

Проєкт 2: Data Engineer with Databricks

Location: Remote, Global
Tech Stack: Databricks, Spark, SQL, Python

Необхідний досвід роботи:
3+ років у Data Engineering
Databricks / Spark (production)
Strong SQL
Python
ETL/ELT пайплайни
Relational + NoSQL DBs
Комунікація з бізнесом
Розуміння бізнес-процесів (Finance, Supply Chain, Operations etc.)
English: B2+

Буде плюсом: Delta Lake, Unity Catalog, Airflow / Data Factory, Data Modeling, Governance, Cloud certs.

Обов’язки: ETL/ELT, lakehouse pipelines, data modeling, data quality, робота з BI/DS командами, DataOps.

Проєкт 3: Senior / Lead Data Engineer — Financial Crime / AML

Location: EU Only
Tech Stack: Databricks, Snowflake, PySpark, Python, Airflow, AWS, Terraform, NiFi

Необхідний досвід роботи:
Expert SQL, Databricks, Snowflake
Python + PySpark (advanced)
Hadoop, NiFi, lakehouse architecture
Airflow / Databricks Workflows / Step Functions
AWS (S3, IAM, Glue, Lake Formation, networking)
Terraform / CloudFormation
Governance & lineage (Unity Catalog / Atlas / OpenLineage)
CI/CD, IaC
Менторинг і технічне лідерство
Incident response, observability
Cost optimization
English: B2+

Обов’язки: Проєктування lakehouse, Bronze/Silver/Gold стандарти, ingestion frameworks, orchestration, governance, quality SLAs, CI/CD, security/compliance, code review, mentoring, оптимізація Spark, підтримка інцидентів.

Проєкт 4: Data Engineer — Enterprise

Location: Remote
Tech Stack: Databricks, Spark, SQL, Python

Необхідний досвід роботи:
3+ років у Data Engineering
Databricks / Spark
Strong SQL
Python
ETL/ELT
Бази даних
Комунікація з бізнесом
Розуміння доменів Finance / Supply Chain / Operations
English: B2+

Буде плюсом: Delta Lake, Unity Catalog, Airflow / Data Factory, Data Modeling, Governance, Cloud certs.

Обов’язки: ETL/ELT, lakehouse architectures, data quality, автоматизація, взаємодія з BI/DS/Governance командами.

Проєкт 5: Senior Data Engineer — PySpark / Databricks / MLOps

Location: EU Only
Tech Stack: PySpark, Databricks, Delta Lake, Jenkins, Azure/AWS

Необхідний досвід роботи:
Strong Python + PySpark
Databricks + Delta Lake
CI/CD (Jenkins, Asset Bundles)
Оптимізація пайплайнів, partitioning, cost
MLOps understanding (SARIMA — базово)
Serverless compute
DevOps майндсет
English: B2+

Обов’язки:
Phase I: продакшн SARIMA-пайплайнів, оптимізація performance/cost, Databricks Asset Bundles, CI/CD, cost analysis.
Phase II: MLOps масштабування, pipeline templates, monitoring, orchestrations, compute optimization.

Location: Remote
Client: USA (Texas)
Domain: AI-driven SaaS for Healthcare & Life Sciences
Industry: Healthcare, Pharmaceuticals, Compliance Automation
 

About the project

We are building an AI-driven SaaS platform that automates regulatory compliance and software revisions for highly regulated industries such as healthcare, life sciences, and pharmaceuticals.

The product helps companies stay compliant with industry regulations by combining AI automation, backend services, and modern web interfaces. You will work on real production features with a strong focus on reliability, performance, and clean architecture.
 

Role overview

We are looking for a Full Stack Software Engineer with 5 years of commercial experience to join the team and work across backend and frontend parts of the platform.

You will design and develop scalable web applications, build robust APIs, and create intuitive user interfaces while collaborating closely with product managers, designers, and other engineers.

A strong Python background is essential, especially for building APIs with FastAPI. Solid experience with React and modern JavaScript/TypeScript is also required.
 

Responsibilities

• Design, develop, and maintain web applications using Python, Node.js, React, and TypeScript
• Build and maintain RESTful APIs using FastAPI, ensuring scalability, security, and performance
• Develop responsive and user-friendly interfaces with React
• Collaborate closely with backend and frontend engineers to deliver cohesive solutions
• Implement best practices such as code reviews, automated testing, and CI/CD
• Troubleshoot, debug, and optimize application performance and reliability
• Contribute to architectural decisions and the evolution of the technology stack
• Work with product managers and designers to deliver high-quality features
   

Requirements

• 3–5 years of hands-on commercial experience with Python, Node.js, and React
• Strong experience building APIs with FastAPI (or similar Python frameworks)
• Proficiency in JavaScript / TypeScript and object-oriented programming
• Experience with RESTful API design and third-party service integrations
• Familiarity with Git, npm, and modern development workflows
• Strong problem-solving skills and attention to detail
• Good communication skills and ability to work in a team
   

Nice to have

• Experience with cloud platforms (AWS preferred, Azure or GCP are also fine)
• Experience with databases: PostgreSQL (preferred), MongoDB, or MySQL
• Understanding of automated testing (Playwright, Selenium) and TDD
• Experience with Docker and containerized environments
   

What we offer

• Fully remote collaboration
• Work with a US-based client on a meaningful healthcare-focused product
• Opportunity to work on AI-driven SaaS in a regulated industry
• Stable project with real production impact
• Professional, engineering-driven team and clear technical goals

We are looking for a hands-on Data Scientist to deliver practical AI and GenAI solutions. This is an execution-driven role focused on data quality, model evaluation, and reliable outputs not on BI or data platforms.

You will work directly on building, testing, and delivering AI/ML and GenAI solutions for real client use cases. The role requires strong practical experience and the ability to turn ideas into production-ready implementations.

Responsibilities

• Build and deliver AI / ML proof-of-concepts
• Prepare data, implement models, and write production-ready code
• Apply LLMs in practice, including: prompting, structured outputs, evaluation, retrieval-augmented generation (RAG)
• Work with messy, real-world customer data
• Collaborate closely with client teams and participate in technical workshops

Requirements

• Strong background in Data Science, Machine Learning, or Statistics
• Hands-on experience building ML pipelines in Python or R(e.g. scikit-learn, pandas, numpy)
• Practical GenAI experience with LLMs, LangChain, Chainlit, and RAG
• Comfortable working with unstructured and imperfect data
• English level B2+

We are looking for a Senior DevOps / Cloud Infrastructure Engineer to design, build, and operate AWS infrastructure for an agentic research assistant in the Pharma / Life Sciences domain, with planned expansion into other research areas.

This is a hands-on infrastructure ownership role, covering cloud architecture, Kubernetes operations, CI/CD, and production reliability.

We are recruiting on behalf of the client. Full project details will be shared with shortlisted candidates.

Project Scope

• Design, build, and operate AWS infrastructure for a production-grade agentic research assistant
• Own Infrastructure as Code (Terraform) across multiple environments (dev / stage / prod)
• Build and maintain CI/CD pipelines for infrastructure and application deployments
• Ensure reliability, security, observability, and cost control
• Prepare runbooks, support incident response, and improve operational maturity
• Collaborate closely with backend and data teams (Python / Java, APIs, data products)

Responsibilities

• Design and operate scalable, secure, and reliable AWS infrastructure
• Own and evolve Terraform codebase (modules, environments, state)
• Build CI/CD pipelines using GitHub Actions for infra and app deployments
• Operate and support Kubernetes (EKS) clusters in production
• Implement observability, alerting, and operational best practices
• Participate in incident handling, root cause analysis, and postmortems
• Work closely with engineering teams to support deployment and runtime needs

Must-Have Requirements

AWS (Production Experience)

Hands-on experience with:

• EKS: cluster setup and operations, node groups, upgrades, autoscaling, ingress, IAM/OIDC
• ECR: image publishing, lifecycle policies, CI integration
• VPC: subnets, routing, NAT / IGW, security groups, NACLs, endpoints, peering (as needed)
• RDS (PostgreSQL): provisioning, HA, backups & restore, basic tuning, monitoring
• Neptune: operational understanding (networking, access control, backups, monitoring)
• EC2: supporting workloads or legacy components when required
• IAM: least-privilege access models, roles & policies, secure access patterns

Infrastructure as Code (Terraform)

Strong hands-on experience with:

• Terraform module design
• State management and remote backends
• Workspaces / environment separation
• Plan / apply workflows
• Secrets and configuration management patterns
• Change management and safe rollouts

Kubernetes & Packaging

• Strong Kubernetes operations experience
• Helm for packaging and deployments (charts, values management, release lifecycle)

CI/CD

Practical experience with GitHub Actions:

• Build / test / deploy pipelines
• Environment promotion and approvals
• Secrets management
• Infrastructure pipelines (terraform fmt / validate / plan / apply)

Operations & Quality

• Observability fundamentals: logging, metrics, tracing, alerting
• SLO / SLA thinking
• Incident handling, postmortems, and runbooks
• Security best practices: secure networking, secrets handling, access control, auditability

Nice-to-Have (Strong Plus)

• Experience with event-driven or distributed systems
• Familiarity with Python (enough to support infra tooling and collaborate on deployments)
• Experience supporting Java services in containerized / Kubernetes environments
• Strong AWS cost optimization skills (rightsizing, autoscaling, storage lifecycle)

Engagement Details

• Level: Senior
• Domain: Pharma / Life Sciences (research-focused product)
• Work format: Remote
• Recruitment: On behalf of the client (details shared later)

We are looking for a Video Processing Engineer to work on low-level video processing with a strong focus on HDR workflows.

The role involves manipulating video streams, applying metadata, and working closely with codecs and operating system–level components in Linux-based media systems.

Responsibilities

• Implement HDR tone-mapping, metadata handling, and color space conversions
• Develop and customize FFmpeg filters and processing workflows
• Implement C / C++ components for HDR video processing
• Work with HDR standards such as HDR10, HLG, and Dolby Vision
• Optimize performance across CPU / GPU, latency, and throughput
• Debug color accuracy and video quality issues

• Integrate video processing solutions into existing Linux-based media systems

   

Requirements

• Strong C / C++ programming experience
• Practical, hands-on experience with FFmpeg
• Solid understanding of video fundamentals:
  • YUV formats
  • Bit depth
  • Color spaces
• Linux development experience

• Experience with GPU acceleration is a plus

   

Additional Information

• Role focuses on low-level video and HDR processing
• No UI or application-level development
• Emphasis on performance, correctness, and video quality

We are looking for a Senior Backend / Media Platform Engineer to join a long-term project focused on the expansion and modernization of a Media Asset Management (MAM) platform in the media and entertainment domain.

The role is backend-heavy and hands-on. You will work on migrating a legacy monolithic system to a distributed, containerized architecture, contributing to architectural decisions and long-term platform evolution rather than short-term feature delivery.

You will collaborate closely with product managers, technical leads, and distributed engineering teams.

Responsibilities

• Design and develop backend services for a Media Asset Management platform
• Participate in migrating a legacy monolith to a distributed, containerized system
• Work with media processing pipelines, including transcoding and clipping
• Contribute to architectural decisions and system modernization initiatives
• Build and maintain asynchronous, message-driven workflows
• Collaborate with frontend and integration teams
• Support long-term platform scalability, reliability, and maintainability

Technical Stack

• C# / .NET – backend services
• PostgreSQL / SQL Server – relational databases, migrations
• FFmpeg – media transcoding, clipping, processing
• Docker – containerization
• Kubernetes / Rancher – orchestration and deployment
• RabbitMQ – asynchronous messaging
• TypeScript + React – frontend (integration context)
• Express.js – backend integrations
• ELK Stack – logging, search, observability
• Git / GitHub – version control and collaboration

Required Skills & Experience

• 5+ years of experience as a Backend Engineer
• Strong hands-on experience with C# / .NET
• Solid understanding of relational databases and SQL
• Experience with PostgreSQL or SQL Server, including migrations or schema redesign
• Hands-on experience with media processing pipelines (FFmpeg or similar)
• Understanding of video transcoding, clipping, and media workflows
• Experience with Docker and containerized applications
• Familiarity with Kubernetes-based environments (Rancher or similar)
• Experience with message brokers (RabbitMQ or equivalents)
• Understanding of distributed systems and asynchronous processing
• Experience working with legacy codebases and system modernization

• Confident English (Upper-Intermediate / B2 or higher)

   

Nice-to-Have Skills

• Background in media, streaming, or entertainment platforms
• Experience with low-level video frame or image processing
• Familiarity with the ELK stack (logging, monitoring, observability)
• Experience with Node.js / Express.js for integrations or auxiliary services
• Experience with CI/CD pipelines and automated deployments
• Experience working in staff augmentation or hybrid team models
• Exposure to architectural refactoring or system decomposition
• Experience with Linux-based environments

• Experience supporting on-prem and cloud (AWS) deployments

   

Additional Information

• Role focus: backend engineering & platform modernization
• Domain: Media & Entertainment
• Project type: Long-term
• Collaboration with distributed teams

We are looking for a Full Stack Software Engineer with 3-5 years of commercial experience to join client's development team. You will work on building scalable web applications, developing backend services, and creating modern, responsive user interfaces. The role involves close collaboration with product, design, and engineering teams, as well as contributing to technical decision-making.

Strong backend experience with Python is essential, including API and service development using FastAPI or similar frameworks. On the front end, you will work with React to ensure smooth client–server integration and high-quality user experience.

Requirements

• 3-5 years of hands-on experience with Python, Node.js, and React in production environments.
• Strong background in building APIs with FastAPI or similar frameworks.
• Proficiency in JavaScript/TypeScript and object-oriented programming concepts.
• Experience with RESTful APIs, asynchronous operations, and third-party integrations.
• Familiarity with development workflows and tools (Git, npm, CI/CD).
• Strong analytical and problem-solving skills with attention to detail.
• Good communication skills and ability to work in a team.

Nice to Have

• Experience with cloud platforms (AWS preferred, Azure or GCP).
• Knowledge of databases: PostgreSQL (preferred), MongoDB, MySQL.
• Understanding of TDD and automated testing frameworks (e.g., Selenium, Playwright).
• Familiarity with Docker and containerized environments.

Responsibilities

• Develop and maintain web applications using Python, Node.js, React, and TypeScript.
• Design, build, and support scalable and secure APIs with FastAPI.
• Create responsive and user-friendly interfaces in React, working closely with backend engineers.
• Apply engineering best practices: code reviews, automated testing, and CI/CD.
• Debug, optimize, and improve performance and reliability of existing solutions.
• Participate in architectural discussions and contribute to the evolution of the tech stack.
• Collaborate with product managers, designers, and engineers to deliver high-quality features.

We are looking for a Full Stack Developer to work on a customer-facing portal and backend services. The role covers the full stack: React-based UI, FastAPI microservices, and a PostgreSQL data layer. In addition, you will be involved in developing a Windows-based Chromium extension, working on browser fingerprinting mechanisms and hardware/GPU emulation features.

Responsibilities

• Develop and maintain the customer portal/dashboard using React and Bootstrap.
• Build and extend backend microservices with FastAPI (Python), including WebSocket support.
• Design and optimize PostgreSQL schemas; implement caching and performance improvements using Redis.
• Enhance a Windows Chromium extension, focusing on browser fingerprinting and hardware attribute emulation.
• Implement secure file-handling features (metadata removal, virus scanning integrations).
• Create automated device provisioning workflows accessible via the customer portal.
• Write clean, maintainable, and testable code; cover functionality with unit and integration tests.
• Participate in code reviews, QA activities, and bug fixing.
• Contribute to documentation and assist with technical support when needed.

Requirements

• 3+ years of experience in full stack development.
• Strong knowledge of Python and FastAPI.
• Solid experience with React and modern JavaScript/TypeScript.
• Experience with PostgreSQL design and performance optimization.
• Familiarity with Redis, caching strategies, and message queues.
• Experience with Docker, Kubernetes, and CI/CD pipelines.
• Good understanding of REST APIs and WebSocket communication.

Nice to Have

• Experience with Chrome/Chromium extension development.
• Knowledge of browser fingerprinting and anti-detection techniques.
• Familiarity with OpenSearch / Elasticsearch.
• Experience with WebRTC, screen recording, or media streaming.
• Background in security-focused or privacy-oriented development.
• C++ experience for low-level Chromium-related work.

We’re looking for a strong Full Stack Developer who is comfortable working on real production systems, complex architectures, and non-trivial technical challenges.

You’ll be building and evolving a customer-facing portal, backend microservices, and a Windows Chromium extension focused on browser fingerprinting, hardware/GPU emulation, and automated device workflows.

What You’ll Do

• Develop and maintain the customer portal/dashboard using React.js and Bootstrap CSS
• Build and extend backend microservices with FastAPI (Python), including WebSocket support
• Design, optimize, and maintain PostgreSQL schemas; implement caching strategies with Redis
• Contribute to the development of a Windows Chromium extension, including:
  • browser fingerprinting
  • GPU and hardware attribute emulation
• Implement secure file-handling pipelines, including:
  • metadata stripping
  • antivirus scanning integrations
• Build automated device provisioning workflows accessible through the customer portal
• Write clean, testable, production-grade code with unit and integration tests
• Participate in code reviews, QA processes, and bug triage
• Contribute to internal documentation and assist customer support when needed

Required Qualifications

• 4+ years of commercial full stack development experience
• Strong proficiency in Python and hands-on experience with FastAPI
• Solid experience with React.js and modern JavaScript / TypeScript
• Experience designing and optimizing PostgreSQL databases
• Familiarity with Redis, caching strategies, and messaging patterns
• Experience with Docker and Kubernetes
• Confident use of Git and CI/CD pipelines
• Solid understanding of RESTful APIs and WebSocket-based systems

We’re looking for an experienced DevOps / Infrastructure Engineer who will fully own our virtualization layer, networking stack, and operating system configurations.

This role is heavily focused on device fingerprinting. Your job is to make virtual Windows desktops and Android devices look and behave like real physical hardware. That means deep OS work, hypervisor APIs, network tuning, and constant detection resistance testing.

What You’ll Do

• Own and scale virtualization infrastructure using VergeOS hypervisor APIs for VM provisioning and lifecycle management
• Design and maintain device fingerprinting strategies for Windows and Android VMs to achieve realistic, low-risk device signatures
• Configure and customize Android x86 images, including:
  • system properties
  • build fingerprints
  • hardware and device identifiers
• Manage Windows desktop images with deep OS-level tuning to reduce detection and attribution risks
• Own network operations:
  • VPN and SOCKS5 provider management
  • failover automation
  • detection resistance testing
• Build Infrastructure-as-Code pipelines for automated device provisioning
• Implement observability and monitoring using Grafana, Prometheus, and InfluxDB
• Handle capacity planning, performance tuning, and cost efficiency
• Perform OS patching, production monitoring, and incident response
• Research, test, and onboard new VPN and SMS providers based on reliability and detection resistance

Required Qualifications

• 5+ years of experience in DevOps, infrastructure engineering, or systems administration
• Strong Linux systems expertise, including kernel configuration and low-level OS tuning
• Solid experience with Windows Server/Desktop administration and PowerShell
• Hands-on experience with Kubernetes and Docker
• Proficiency with Terraform and Ansible
• Deep understanding of networking:
  • VPNs
  • proxies
  • SOCKS5
  • OpenVPN
• Practical experience with virtualization platforms and hypervisor APIs
• Familiarity with Grafana, Prometheus, and InfluxDB

Why This Role

• Real infrastructure ownership, not “keep the lights on” DevOps
• Deep technical work across virtualization, OS internals, networking, and detection evasion
• Problems that don’t have Stack Overflow answers
• High-impact role where your decisions directly affect product survivability

We’re looking for a Data Engineer to join our client's data engineering team. The role focuses on building and maintaining data pipelines using a modern cloud data stack to drive data-driven decision-making across the retail organization.

Technical Stack

• Snowflake - Cloud data warehouse
• dbt Cloud - Data transformation (SQL)
• Astronomer (Airflow) - Workflow orchestration
• Python - Scripting and automation

Responsibilities

• Build and maintain scalable data pipelines using dbt and Airflow
• Develop and optimize SQL transformations and data models in Snowflake
• Implement data quality checks and ensure data reliability
• Collaborate with analytics and business stakeholders to understand data needs
• Document data lineage and maintain best practices in version control
• Contribute to performance optimization and continuous improvement of data workflows

Requirements

• 5+ years of experience as a Data Engineer
• 2+ years of hands-on experience with dbt
• Strong SQL skills (complex queries, performance tuning, data modeling)
• Experience with Snowflake or similar warehouses (BigQuery, Redshift)
• Airflow experience (DAG development, orchestration)
• Proficiency in Python for automation and scripting
• Hands-on experience building production-grade ELT/ETL pipelines
• Experience working with cloud data platforms

Nice to have:

• Retail/e-commerce domain experience
• Data quality tools (Great Expectations, Monte Carlo)
• Modern data stack tools (Fivetran, Airbyte)
• BI tools (Looker, Tableau, Power BI)
• Terraform / IaC
• Data governance understanding

Key Responsibilities

• Design, develop, and maintain ETL/ELT pipelines for ingesting, transforming, and loading data from multiple sources (operational systems, APIs, files, etc.).
• Collaborate closely with business users and domain experts (Finance, Operations, Procurement, Marketing, etc.) to understand business processes and translate them into data models.
• Implement robust data architectures supporting Data Warehouse and Data Lakehouse environments.
• Develop data transformation logic using SQL, Python, and Spark.
• Ensure data quality, consistency, and performance through monitoring, documentation, and automation.
• Work with BI, Data Science, and Data Governance teams to support analytics, reporting, and machine learning initiatives.
• Continuously improve data engineering best practices and development standards (CI/CD, DataOps).

 
Requirements

• 3+ years of experience as a Data Engineer or in a similar data-focused role.
• Proven experience with Databricks, Apache Spark or equivalent distributed processing platforms.
• Strong SQL skills and hands-on experience in building scalable data pipelines (ETL/ELT).
• Proficiency in Python
• Experience with relational and non-relational databases.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication skills and the ability to collaborate effectively with non-technical stakeholders.
• Good understanding of business processes (Finance, Supply Chain, Operations, etc.) and their data flows.

 
Nice to Have

• Experience with Databricks Lakehouse, including Delta Lake, Unity Catalog, and Workflows.
• Familiarity with Airflow, Data Factory, or similar orchestration tools.
• Understanding of Data Governance, Metadata Management, and Data Modeling (Star Schema, Data Vault).
• Cloud certifications (e.g., Databricks Certified Data Engineer, Azure/AWS/GCP Data Engineer) – a strong advantage.

We’re looking for a Senior Software Engineer with deep expertise in web scraping and automation to join a compact, fast-moving team working directly with one of our clients on a technically diverse and business-critical system. You’ll collaborate closely with the client and two of our internal engineers.

This role is a good fit for someone who is comfortable working autonomously in a small team, takes ownership of technical decisions, and understands how to balance clean engineering with pragmatic problem-solving in real-world systems.

About the Project

The system automates and streamlines data aggregation from third-party ticketing platforms to support real-time event access management. It operates using authenticated user sessions, retrieves time-sensitive barcode data via browser-based web automation, and presents the information through a lightweight web interface to ensure smooth entry at venues.

This is a multi-component solution consisting of:

• Web scraping and browser automation modules (PuppeteerSharp, Playwright)
• Windows background services responsible for periodic data synchronization
• Azure Function Apps used for task orchestration
• A Blazor WebAssembly application for displaying event access codes

The system is designed to operate in a time-critical environment where performance, stability, and predictability are essential.

Your Responsibilities

• Design, build, and maintain robust web scraping and automation modules for high-volume data retrieval
• Implement proxy management and session-handling strategies to keep automation stable over time
• Optimize performance and data consistency across scraping jobs and data pipelines
• Collaborate closely with the client and internal team on priorities, technical direction, and architectural decisions
• Monitor, troubleshoot, and improve system reliability and resilience
• Ensure automation approaches respect platform constraints and security considerations
• Contribute to CI/CD improvements and overall operational reliability

• Drive continuous improvements through experimentation and technical excellence

   

What We’re Looking For

• 8+ years of professional software development experience
• Strong hands-on experience with web scraping and browser automation (Playwright, Puppeteer, Selenium, or similar)
• Solid understanding of HTTP traffic, sessions, cookies, and browser automation behavior
• Experience building resilient, fault-tolerant scraping systems
• Proficiency in at least one backend language (Python, JavaScript/TypeScript, C#, Go, etc.)
• Familiarity with cloud environments (Azure, AWS, or GCP) and CI/CD pipelines
• Comfortable working in a small team with direct client interaction
• Ability to take ownership and work with minimal process overhead
• Upper-Intermediate+ English level
• Responsible, communicative, and customer-focused mindset

We are looking for a Senior IT Recruiter with strong hands-on experience in IT outsourcing / outstaffing, focused on hiring engineering roles. This role requires the ability to operate in a fast-changing environment, quickly adapt to shifting priorities, and work closely with multiple stakeholders across regions.

Key Responsibilities

• Manage full-cycle recruitment for engineering roles (Backend, Frontend, DevOps, Data, QA, Security, etc.)
• Partner with hiring managers to define role requirements and hiring priorities
• Actively source candidates using LinkedIn and alternative sourcing channels
• Conduct candidate screenings, coordinate interviews, and manage the hiring process end-to-end
• Sell job offers, manage candidate expectations, and handle counteroffers
• Support onboarding processes, including assistance with documentation and candidate adaptation
• Work efficiently in a dynamic, fast-paced environment with frequently changing priorities
• Maintain and manage recruitment pipelines using ATS systems
• Collaborate closely with recruitment, HR, and delivery teams
• Hire for EMEA and North America (NAM) markets

Sourcing & Recruitment Approach

• Strong expertise in LinkedIn sourcing
• Experience with alternative and creative sourcing methods
• Ability to tailor sourcing strategies based on role complexity and regional specifics

Requirements

• Proven experience as a Senior IT Recruiter in IT outsourcing / outstaffing
• Solid track record of hiring engineering profiles
• Experience working with ATS systems
• Experience recruiting for EMEA and North America
• Upper-Intermediate English level or higher (required)
• Strong communication and stakeholder management skills
• Strategic mindset with a hands-on execution approach
• Ability to adapt quickly to changing priorities and business needs
• Team player with an open-minded, positive, and stress-resistant attitude

Why This Role

This is not a template-based recruiting role. It requires flexibility, ownership, and the ability to think beyond standard hiring playbooks. For the right person, it offers meaningful impact, autonomy, and professional growth within a service-driven environment.